A data fusion technique to detect wireless network virtual jamming attacks

Escudero-Andreu, Gines; Kyriakopoulos, K.; Aparicio-Navarro, Francisco J.; Parish, David J.; Santoro, Diego; Vadursi, Michele

doi:10.1109/iwmn.2015.7322978

Cited by 1 publication

(9 citation statements)

References 15 publications

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“…In this paper, we present a novel H-NIDS to detect virtual jamming attacks on IEEE 802.11 networks. This H-NIDS extends and improves the method that we previously proposed in [17], with a completely rearranged architecture. With this proposed hybrid approach, we want to improve the detection accuracy of the system, and reduce the number of false alarms.…”

Section: Introductionsupporting

confidence: 53%

“…It is worth noting that the increase of the FPRs for the metrics combination including NAV is significantly smaller than the FPR results obtained with the single metric NAV in the scenario 2. Finally, we notice a clear improvement of the FPR of the metric combination compared to the FPR presented in [17]. Taking into account the multiple metric combinations which are common in both papers, we notice a reduction in FPRs for the metric combination of (ΔT, ΔFSN), reducing from 25% in [17] to 10.3%.…”

Section: B Performance Analysis Under Normal Trafficmentioning

confidence: 66%

“…Regarding the multiple metric combinations, a noteworthy general improvement with FPRs in comparison to the results previously presented in [17] is made possible by the hybrid nature of the proposed NIDS.…”

Section: B Performance Analysis Under Normal Trafficmentioning

confidence: 67%

“…In [17], an off-line detection algorithm is proposed, which is able to detect and classify physical and virtual jamming attacks. The algorithm needs the following metrics as inputs: Packet Delivery Ratio (PDR) and Packets Send Ratio (PSR).…”

Section: Related Workmentioning

confidence: 99%

“…The authors have recently presented an anomaly-based NIDS to detect virtual jamming NAV attacks on IEEE 802.11 networks [17]. The core detector adopts an anomaly-based approach, which exploits an implementation of the Dempster-Shafer (DS) Theory of Evidence [18].…”

Section: Introductionmentioning

confidence: 99%

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A hybrid intrusion detection system for virtual jamming attacks on wireless networks

et al. 2017

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Newcastle University ePrints -eprint.ncl.ac.uk Santoro D, Escudero-Andreu G, Kyriakopoulos KG, Aparicio-Navarro FJ, Parish DJ, Vadursi M. A hybrid intrusion detection system for virtual jamming attacks on wireless networks. Measurement 2017, 109, 79-87. Abstract-Wireless communications are vulnerable to certain number of cyber-attacks and intrusion attempts due to the intrinsic openness of the communication channel. Virtual jamming attack stands out among other attacks. This type of attack is easy to implement, energy-efficient to be launched, and represents one of the most important threats to the security of wireless networks. As the complexity of the attacks keeps increasing, new and more robust detection mechanisms need to be developed. A number of Network Intrusion Detection Systems (NIDSs) have been presented in the literature to detect this type of attack. To tackle the problem of virtual jamming attacks on IEEE 802.11 networks, we present a novel Hybrid-NIDS (H-NIDS) based on Dempster-Shafer (DS) Theory of Evidence. The proposed method aims at combining the advantages of signature-based and anomaly-based NIDSs. The performance of the proposed solution has been experimentally evaluated with multiple scenarios in an IEEE 802.11 network.

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Section: Introductionsupporting

confidence: 53%

Section: B Performance Analysis Under Normal Trafficmentioning

confidence: 66%

Section: B Performance Analysis Under Normal Trafficmentioning

confidence: 67%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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